Senior Databricks Developer

The Senior Databricks Developer will be responsible for designing, developing, and maintaining scalable data solutions using Databricks, Snowflake, Oracle, and Azure-native technologies. This role requires strong hands-on experience with data engineering, cloud data platforms, ETL/ELT development, and CI/CD processes. The ideal candidate will have a deep understanding of Databricks architecture and data pipeline development while collaborating closely with cross-functional teams to deliver high-quality data solutions., * Design, develop, and maintain scalable data pipelines and data integration solutions using Databricks.

• Build and optimize ETL/ELT processes supporting enterprise analytics and reporting initiatives.
• Develop and maintain data transformations using Databricks, Spark, SQL, and related technologies.
• Integrate and manage data across Snowflake, Oracle, and cloud-based data platforms.
• Implement CI/CD processes and deployment automation using Azure Pipelines.
• Optimize data processing performance, scalability, and reliability across cloud environments.
• Collaborate with business stakeholders, architects, and engineering teams to translate requirements into technical solutions.
• Support data validation, troubleshooting, testing, and production support activities.
• Participate in architecture discussions and contribute to best practices for cloud data engineering.
• Ensure compliance with data governance, security, and quality standards.
• Document technical solutions, processes, and development standards.

Do you have experience in Technical writing?, Do you have a High school diploma or GED?, * High school diploma or GED required.

• 6-9+ years of experience in data engineering, data development, or cloud data platform development.
• Strong hands-on experience with Databricks development and administration.
• Experience building and optimizing large-scale data pipelines and ETL/ELT processes.
• Strong SQL development skills.
• Experience working with Oracle databases and enterprise data environments.
• Experience with Snowflake data warehousing solutions.
• Experience implementing CI/CD processes using Azure Pipelines.
• Strong understanding of cloud-based data architecture and distributed data processing.
• Experience troubleshooting and optimizing performance of complex data workflows.
• Strong communication, documentation, and problem-solving skills.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• Experience with Python, PySpark, Spark SQL, or related data engineering technologies.
• Experience with Azure cloud services and cloud-native data solutions.
• Familiarity with data governance, security, and compliance best practices.
• Experience working within Agile delivery environments.
• Experience supporting enterprise-scale analytics and reporting platforms.
• Databricks certifications preferred., * Bachelor's (Preferred), * Databricks engineering: 6 years (Required)

4.04.0 out of 5 stars United States Remote $70.00 - $82.50 an hour - Contract

Our client is a global consulting and technology organization supporting enterprise-scale cloud data modernization and analytics transformation initiatives. This role will focus on the development, optimization, and support of modern cloud-based data platforms leveraging Databricks and enterprise data warehouse technologies.